World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
9958
World Ranking
7527
National Ranking
185

Edurne Barrenechea publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Edurne Barrenechea sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Edurne Barrenechea D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Edurne Barrenechea sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Edurne Barrenechea is affiliated with Universidad Publica De Navarra in Spain and specializes in the field of Computer Science. Their work predominantly focuses on the subfields of Computer Vision and Pattern Recognition, Media Technology, and Artificial Intelligence.

The main topics of research covered by Edurne Barrenechea include:

  • Advanced Image and Video Retrieval Techniques
  • Remote-Sensing Image Classification
  • Image Retrieval and Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques
  • Digital Image Processing Techniques

Recent publications by Edurne Barrenechea showcase research contributions in various reputable venues with topics related to image processing and classification. Key papers include:

  • "Co-occurrence of deep convolutional features for image search" (2020), published in Image and Vision Computing
  • "Learning ordered pooling weights in image classification" (2020), published in Neurocomputing
  • "Ordered directional monotonicity in the construction of edge detectors" (2020), published in Fuzzy Sets and Systems
  • "Cátedra Mujer, Ciencia y Tecnología de la UPNA" (2023), published in Príncipe de Viana

The frequent collaborators in Edurne Barrenechea's research include Humberto Bustince, Juan I. Forcen, Miguel Pagola, Cédric Marco-Detchart, and Javier Fernández. These coauthors are associated with multiple joint publications, reflecting ongoing research partnerships.

Edurne Barrenechea's work is published in journals such as:

  • Image and Vision Computing
  • Neurocomputing
  • Fuzzy Sets and Systems
  • Príncipe de Viana

This profile reflects a research career with a focus on image analysis techniques, classification methodologies, and applications of neural networks in computer vision. The scientist's research contributes to both foundational algorithm development and applied technological advancements in media and remote-sensing imaging.

Best Publications

  • A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

    M. Galar;A. Fernandez;E. Barrenechea;H. Bustince

  • An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Humberto Bustince

  • A Historical Account of Types of Fuzzy Sets and Their Relationships

    Humberto Bustince;Edurne Barrenechea;Miguel Pagola;Javier Fernandez

  • EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Francisco Herrera

  • Interval-valued fuzzy sets constructed from matrices: Application to edge detection

    H. Bustince;E. Barrenechea;M. Pagola;J. Fernandez

  • Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images

    H. Bustince;M. Pagola;E. Barrenechea

  • New method to assess barley nitrogen nutrition status based on image colour analysis

    Miguel Pagola;Rubén Ortiz;Ignacio Irigoyen;Humberto Bustince

  • New results on overlap and grouping functions

    Benjamín Bedregal;Graçaliz Pereira Dimuro;Humberto Bustince;Edurne Barrenechea

  • Image thresholding using restricted equivalence functions and maximizing the measures of similarity

    H. Bustince;E. Barrenechea;M. Pagola

  • Restricted equivalence functions

    H. Bustince;E. Barrenechea;M. Pagola

  • Relationship between restricted dissimilarity functions, restricted equivalence functions and normal EN-functions: Image thresholding invariant

    H. Bustince;E. Barrenechea;M. Pagola

  • Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$ -Dimensional Overlap Functions and Decomposition Strategies

    Mikel Elkano;Mikel Galar;Jose Antonio Sanz;Alberto Fernandez

  • A survey on fingerprint minutiae-based local matching for verification and identification

    Daniel Peralta;Mikel Galar;Isaac Triguero;Daniel Paternain

  • Definition and construction of fuzzy DI-subsethood measures

    H. Bustince;V. Mohedano;E. Barrenechea;M. Pagola

  • Multiscale edge detection based on Gaussian smoothing and edge tracking

    C. Lopez-Molina;B. De Baets;H. Bustince;J. Sanz

  • Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images

    H. Bustince;M. Pagola;E. Barrenechea;J. Fernandez

  • Comments on “Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship”

    Humberto Bustince Sola;Javier Fernandez;Hani Hagras;Francisco Herrera

  • Construction of Interval-Valued Fuzzy Relations With Application to the Generation of Fuzzy Edge Images

    E. Barrenechea;H. Bustince;B. De Baets;C. Lopez-Molina

  • n-Dimensional overlap functions

    Daniel Gómez;J. Tinguaro Rodríguez;Javier Montero;Humberto Bustince

  • Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making

    Edurne Barrenechea;Javier Fernandez;Miguel Pagola;Francisco Chiclana

  • Generation of interval-valued fuzzy and atanassov's intuitionistic fuzzy connectives from fuzzy connectives and from K α operators: Laws for conjunctions and disjunctions, amplitude

    H. Bustince;E. Barrenechea;M. Pagola

  • Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Humberto Bustince

Frequent Co-Authors

Miguel Pagola
Miguel Pagola Universidad Publica De Navarra
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Javier Fernández
Javier Fernández Universidad Publica De Navarra
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Francisco Herrera
Francisco Herrera University of Granada
Javier Montero
Javier Montero Complutense University of Madrid
Alberto Fernández
Alberto Fernández University of Granada
José Antonio Sanz
José Antonio Sanz Universidad Publica De Navarra
Pablo Sanchis
Pablo Sanchis Universidad Publica De Navarra
Ignacio R. Matias
Ignacio R. Matias Universidad Publica De Navarra

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